Triple

T16106358
Position Surface form Disambiguated ID Type / Status
Subject Dajia Jenn Lann Temple E390747 entity
Predicate locatedIn P40 FINISHED
Object Taichung NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Taichung | Statement: [Dajia Jenn Lann Temple, locatedIn, Taichung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taichung
Context triple: [Dajia Jenn Lann Temple, locatedIn, Taichung]
  • A. Taichung chosen
    Taichung is a major city in central Taiwan known for its cultural attractions, mild climate, and role as an important economic and transportation hub.
  • B. Tainan
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • C. New Taipei City
    New Taipei City is a populous special municipality in northern Taiwan that encircles Taipei and serves as a major residential, industrial, and transportation hub of the Taipei metropolitan area.
  • D. Taoyuan City
    Taoyuan City is a major municipality in northwestern Taiwan known for its rapidly growing urban areas, industrial zones, and proximity to Taiwan Taoyuan International Airport.
  • E. Chiayi
    Chiayi is a city in southwestern Taiwan known as a gateway to the Alishan scenic area and for its role as a regional transportation and cultural hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
Created at: April 10, 2026, 5 a.m.